BELFAL: A Blockchain-based Ensemble Learning Framework for Anti-money Laundering in Crypto-Currency Markets

Crypto-Currency has witnessed a growing trend of adoption and skyrocketing market size in recent years, imposing significant impacts and challenges to financial industries. One of the challenges that attract intensive interests from academia and industries is money laundering with crypto-currency, d...

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Veröffentlicht in:	Proceedings - International Conference on Parallel and Distributed Systems S. 520 - 527
Hauptverfasser:	Li, Ziye, Yao, Ruizhe, Yang, Dong, Zhang, Yifei, Mao, Hanyu, Yuan, Yong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.10.2024
Schlagworte:	Adaptation models anti-money laundering blockchain Blockchains cryptocurrencies Ensemble learning InterPlanetary File System Job shop scheduling Machine learning algorithms Predictive models Prototypes Smart contracts
ISSN:	2690-5965
Online-Zugang:	Volltext
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